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Are Quick Service Restaurants Popular in Russia: Assessing Consumers Preferences for Western -Style Fast Food in Perm Region Mirzobobo Yormirzoev National Research University Higher School of Economics Cornell University Jill J. McCluskey


  1. Are Quick Service Restaurants Popular in Russia: Assessing Consumers’ Preferences for Western -Style Fast Food in Perm Region Mirzobobo Yormirzoev National Research University Higher School of Economics Cornell University Jill J. McCluskey Washington State University

  2. Research Background  It was January 1990 when McDonald’s, a leading US fast food company opened its first branch in Moscow, USSR capital that attracted hundreds of Soviet customers who never had any opportunity to eat Western style fast food.  After a quarter of century passed since then a number of fast food chains opened and operate successfully in different cities of Russia.  Does fast food popular remain popular in Russia?  In this article we seek to evaluate consumer attitudes and preferences for eating fast food in Perm that is located in country's Ural region.

  3. Methodology  The contingent valuation method (CVM) will be applied to estimate willingness to pay (WTP).  This method is widely used for assessing individual WTP based on the responses of market-type questions with binary choices (Kanninen, 1993).  The planned survey for this study will comprise CV questions regarding respondents’ willingness to pay a premium or accept a discount in order to purchase and eat Western-style fast food.

  4. Methodology  We will use a double-bounded binary choice model to evaluate respondents’ outcomes from the survey (Hanemann et.al, 1991).  There will be four possible results in the model:  Respondents are not willing to eat fast food at the same price as Russian traditional food (pelmeni) and they are not willing to eat it even at a discount price (NO followed by NO).  Respondents are not willing to eat fast food at the same price as Russian traditional food (pelmeni) but under a given random discount they are willing to eat fast food (NO followed by YES).  Respondents are willing to eat fast food at the same price as Russian traditional food (pelmeni) but are not willing to eat fast food at a higher price (YES followed by NO).  Respondents are willing to eat fast food at the same price as Russian traditional food (pelmeni) and they are willing to eat it at a randomly assigned premium (YES followed by YES).

  5. Methodology The WTP function is represented in the following form: WTP = α - τ B+ λ `z+ ε where B is the ultimate bid amount each respondent faces, z is a column vector of observable characteristics of the individual respondent, ε is a random variable that comprises unobservable characteristics, and α , τ and λ are unknown parameters to estimated . In the empirical implementation of the model, we define G(.) to be the standard logistic distribution with mean zero and standard deviation σ = π / √3. The maximum likelihood method (MLM) will be used to estimate the equation.

  6. Data and Sample  We hope to get data for the study from NRU HSE – Perm. Respondents will be faculty members, staff and students.  It would adequate should we cover about 15 or 20% of campus population for this article.  Several socio-demographic as well as consumer perception variables will be requested from respondents.

  7. Data and Sample Socio-Demographic Variables: Age, Gender, Marital Status, Years of Education, Household Monthly Income, Children under 18 in household, student, faculty, staff, respondent from Perm or not. Consumer Perception Variables : opinion, safety, risk, taste, price, restaurant location, frequency of fast food eating, etc.

  8. Tentative Article Content  Introduction  Fast Food Consumption in Russia  Related Studies  Survey Data  Methodology  Empirical Results  Conclusions  References

  9. Are Quick Service Restaurants Popular in Russia: Assessing Consumers’ Preferences for Western -Style Fast Food in Perm Region Thank you for your attention. Your suggestions and inputs are welcomed.

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